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Record W2037754768 · doi:10.1002/cjce.5450830407

On Criteria for Occurrence of Azeotropes in Isothermal and Isobaric Binary Systems

2005· article· en· W2037754768 on OpenAlex
R. W. Missen

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.
fundA Canadian funder is recorded on the work.
venuePublished in a venue whose home country is Canada.

Bibliographic record

VenueThe Canadian Journal of Chemical Engineering · 2005
Typearticle
Languageen
FieldChemical Engineering
TopicThermodynamic properties of mixtures
Canadian institutionsUniversity of Toronto
FundersNatural Sciences and Engineering Research Council of Canada
KeywordsAzeotropeIsobaric processIsothermal processThermodynamicsBoilingComponent (thermodynamics)Activity coefficientBinary numberMaterials scienceBoiling pointDilutionMathematicsChemistryChromatographyDistillationPhysical chemistryPhysics

Abstract

fetched live from OpenAlex

Abstract Criteria are developed for the occurrence of azeotropes in binary nonelectrolyte systems for both isothermal and isobaric situations in terms of liquid‐phase activity coefficients at infinite dilution (γ ∞ ). In the case of isothermal systems at temperature T , for a positive azeotrope, γ ∞ lvc ≥ p * mvc / p * lvc where lvc refers to the less volatile component, mvc to the more volatile component, and p * to saturation vapour pressure at T ; for a negative azeotrope, γ ∞ mvc ≤ p * lvc / p * mvc . In the case of isobaric systems at pressure P , for a minimum‐boiling azeotrope, γ ∞ lvc ( T Bmvc ) ≥ P / p * lvc ( T Bmvc ), where T B refers to the boiling point at P ; for a maximum‐boiling azeotrope, γ ∞ mvc ( T Blvc ) ≤ P / p * mvc ( T Blvc ). The criteria are also given in terms of the parameters of selected correlations for the excess molar Gibbs function ( g E ). Examples of the use of the criteria are provided. Various methods that generate values of γ ∞ can be used in conjunction with the criteria, for example, in screening procedures.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

Full frame distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Simulation or modeling · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.621
Threshold uncertainty score0.409

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.010
GPT teacher head0.208
Teacher spread0.198 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it